Post-training quantization on diffusion models

Y Shang, Z Yuan, B Xie, B Wu… - Proceedings of the IEEE …, 2023 - openaccess.thecvf.com
Denoising diffusion (score-based) generative models have recently achieved significant
accomplishments in generating realistic and diverse data. These approaches define a …
被引用次数：61 相关文章

Post-training Quantization on Diffusion Models

Y Shang, Z Yuan, B Xie, B Wu, Y Yan - arXiv e-prints, 2022 - ui.adsabs.harvard.edu
Denoising diffusion (score-based) generative models have recently achieved significant
accomplishments in generating realistic and diverse data. These approaches define a …

Post-Training Quantization on Diffusion Models

Y Shang, Z Yuan, B Xie, B Wu, Y Yan - 2023 IEEE/CVF Conference on …, 2023 - computer.org
Denoising diffusion (score-based) generative models have recently achieved significant
accomplishments in generating realistic and diverse data. Unfortunately, the generation …

Post-Training Quantization on Diffusion Models

Y Shang, Z Yuan, B Xie, B Wu… - 2023 IEEE/CVF …, 2023 - ieeexplore.ieee.org
Denoising diffusion (score-based) generative models have recently achieved significant
accomplishments in generating realistic and diverse data. Unfortunately, the generation …
[PDF] researchgate.net

[PDF][PDF] Post-training Quantization on Diffusion Models

Y Shang, Z Yuan, B Xie, B Wu, Y Yan - researchgate.net
Denoising diffusion (score-based) generative models have recently achieved significant
accomplishments in generating realistic and diverse data. These approaches define a …

Post-training Quantization on Diffusion Models

Y Shang, Z Yuan, B Xie, B Wu, Y Yan - arXiv preprint arXiv:2211.15736, 2022 - arxiv.org
Denoising diffusion (score-based) generative models have recently achieved significant
accomplishments in generating realistic and diverse data. These approaches define a …